Senior Data Platform Engineer
DeepLJob Description
📋 Description Build and evolve the data platform: Databricks lakehouse and Kafka ingestion Enable AI-powered data workflows: MCP connectors and workflow skills Make data trustworthy at scale: observability, quality, monitoring, alerts Steward infra, DX, and governance: IaC, CI/CD, access, audits 🎯 Requirements Cloud data infrastructure experience — IaC with Terraform/Terragrunt, CI/CD for data, Docker/Kubernetes Python proficiency; primary language on the Data Platform; Go/Java a plus Reliability and operational excellence — observability, alerts, production ownership A platform-product mindset — focus on developer experience and reducing friction Clear cross-functional communication — effective across audiences AI-native velocity — use AI-powered tools to move faster and tackle hard problems 🎁 Benefits Diverse and internationally distributed team Hybrid work, flexible hours Virtual Shares - ownership mindset Regular in-person team events Monthly full-day hacking sessions 30 days of annual leave